System for watering live plants on a maneuverable rack

ABSTRACT

Examples provide a system for watering plants on a rack. A robotic device attaches to a portion of the rack and pulls or pushes the rack to a watering zone. A sprinkler device sprays water to evenly distribute water across all plants on the rack. The system determines quantity of water, duration of watering, and frequency of watering based on real-time sensor data and context data associated with the environment, historical watering data, condition of the plants on the rack and a set of customized maintenance rules based on the type of plants on the rack. When watering is complete, the robotic device returns the rack to a designated location and detaches from the rack. The robotic device then attaches to another rack having plants on it scheduled for watering. The watering schedule is updated dynamically based on changing weather and plant state.

BACKGROUND

In a garden center or other plant nursery, there are frequently dozensor even hundreds of different types of plants to be maintained. Eachtype of plant frequently requires varying amounts of sun exposure, soilmoisture levels, soil acidity (pH), watering frequency, fertilizerrequirements and/or soil composition for maintenance, health and growthof the plants. Managing these diverse maintenance requirements for everytype of plant on an individual basis is typically too time consuming,cost prohibitive and impractical in large-scale garden centers. In somesolutions, plants are watered simultaneously/uniformly by watersprinklers spread throughout the garden center. This automated wateringregime may lead to overwatering of some plants and underwatering ofothers, resulting in sub-optimal condition of plants and inefficientresource usage in plant maintenance.

SUMMARY

Some examples provide a system for watering plants on a maneuverablerack. The system includes plants associated with a maneuverable plantrack in a live plant center. The plant rack includes a set of wheelsconnected to an underside of a shelf member. An attachment point islocated on a portion of the shelf member. A robotic rack-driver devicemoves the plant rack to a watering zone of a frame-mounted sprinklerdevice. The robotic rack-driver device includes an attachment mechanismremovably connected to the attachment point on the plant rack. A motorprovides drive power to one or more wheels on the robotic rack-driverdevice. The robotic rack-driver device drives the plant rack along apre-determined route from an assigned location of the plant rack to thewatering zone. A control device on the robotic rack-driver deviceincludes a processor communicatively coupled to a memory. A controllercomponent is implemented on the processor. The controller componentanalyzes sensor data generated by one or more sensor devices andreal-time context data associated with the live plant center. Thecontroller component identifies a current state of at least one plant onthe plant rack based on a result of the analysis. A plant maintenancecomponent implemented on the processor generates a set of maintenanceinstructions for watering the plants on the plant rack. A set of one ormore sensor devices on the frame-mounted sprinkler device detects apresence of the plant rack within the watering zone. A sprinkler controlcomponent implemented on the frame-mounted sprinkler device triggersrelease of a quantity of water onto the plant rack via a set ofsprinklers for a predetermined watering duration specified in the set ofmaintenance instructions.

Other examples provide a computer-implemented method for dynamicallyscheduling watering of plants on a maneuverable plant rack. A set of oneor more sensor devices generates sensor data associated with at leastone plant on a selected plant rack in a live plant center. An analysiscomponent analyzes the sensor data and real-time context data associatedwith the live plant center using a set of status criteria. An updatedstatus of the at least one plant on the selected plant rack is generatedbased on the results of the analysis. A plant maintenance componentupdates a set of watering instructions for the selected plant rack basedon the updated status. The updated set of watering instructions includesa next scheduled watering time, a quantity of water and a duration ofwatering for the next scheduled watering time of the plant rack. Anavigation component on the robotic rack-driver device generates a setof navigation instructions. The robotic rack-driver device autonomouslydrives the selected plant rack from an assigned location to a wateringzone associated with a selected frame-mounted sprinkler device at thenext scheduled watering time based on the set of navigationinstructions. When a sensor device on the robotic rack-driver devicedetects release of water onto the selected plant rack within thewatering zone, the navigation component initiates a set of rotationalmotions maneuvering the selected plant rack within the watering zone toenable equal water distribution across the selected plant rack. Therobotic rack-driver device returns the selected plant rack to theassigned location of the plant rack when the sensor detects a cessationof water emissions from the rack-mounted sprinkler device.

Still other examples provide a robotic rack-driver device. An analysiscomponent implemented on at least one processor on the roboticrack-driver device analyzes sensor data associated with a live plantcenter and real-time context data associated with a plurality ofmaneuverable plant racks using a set of plant maintenance rules toidentify a selected plant rack for watering. An attachment mechanism onthe robotic rack-driver device couples to an attachment point on aportion of the selected plant rack. An electric motor provides drivepower to at least one wheel on the robotic rack-driver device. Therobotic rack-driver device moves the selected plant rack from anassigned location of the selected plant rack to a watering zoneassociated with a selected frame-mounted sprinkler device. A navigationcomponent generates instructions to move the selected plant rack througha set of rotational motions within the watering zone when theframe-mounted sprinkler device begins releasing water onto the selectedplant rack. The robotic rack-driver device returns the selected plantrack to the assigned location on condition a duration watering assignedto the selected plant rack is completed. The attachment mechanismreleases a locking mechanism to release the portion of the selectedplant rack from the robotic rack-driver device at the assigned location.

This Summary is provided to introduce a selection of concepts in asimplified form that are further described below in the DetailedDescription. This Summary is not intended to identify key features oressential features of the claimed subject matter, nor is it intended tobe used as an aid in determining the scope of the claimed subjectmatter.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is an exemplary block diagram illustrating a system for wateringplants on a maneuverable rack via a robotic rack-driver device and aframe-mounted sprinkler device.

FIG. 2 is an exemplary block diagram illustrating a live plant centerincluding at least one robotic rack-driver device and at least onesprinkler device.

FIG. 3 is an exemplary block diagram illustrating a robotic rack-driverdevice.

FIG. 4 is an exemplary block diagram illustrating a maneuverable plantrack.

FIG. 5 is an exemplary block diagram illustrating a maneuverable plantrack having an attachment point.

FIG. 6 is an exemplary block diagram illustrating a maneuverable plantrack connected to a robotic rack-driver device.

FIG. 7 is an exemplary block diagram illustrating a robotic rack-driverdevice detached from a maneuverable plant rack.

FIG. 8 is an exemplary block diagram illustrating a frame-mountedsprinkler device.

FIG. 9 is an exemplary block diagram illustrating a frame-mountedsprinkler device including a control device.

FIG. 10 is an exemplary block diagram illustrating a watering zoneassociated with a frame-mounted sprinkler device.

FIG. 11 is an exemplary block diagram illustrating a robotic rack-driverdevice moving a plant rack inside a watering zone associated with aframe-mounted sprinkler device.

FIG. 12 is an exemplary block diagram illustrating a set of sensordevices.

FIG. 13 is an exemplary block diagram illustrating a plant maintenancecomponent.

FIG. 14 is an exemplary block diagram illustrating a cloud serverincluding an analysis component.

FIG. 15 is an exemplary block diagram illustrating a database forstoring plant maintenance data.

FIG. 16 is an exemplary flow chart illustrating operation of thecomputing device to water plants on a plant rack via a frame-mountedsprinkler device.

FIG. 17 is an exemplary flow chart illustrating operation of thecomputing device to maneuver a plant rack during watering via a roboticrack-driver device.

Corresponding reference characters indicate corresponding partsthroughout the drawings.

DETAILED DESCRIPTION

A more detailed understanding may be obtained from the followingdescription, presented by way of example, in conjunction with theaccompanying drawings. The entities, connections, arrangements, and thelike that are depicted in, and in connection with the various figures,are presented by way of example and not by way of limitation. As such,any and all statements or other indications as to what a particularfigure depicts, what a particular element or entity in a particularfigure is or has, and any and all similar statements, that may inisolation and out of context be read as absolute and therefore limiting,may only properly be read as being constructively preceded by a clausesuch as “In at least some examples, . . . ” For brevity and clarity ofpresentation, this implied leading clause is not repeated ad nauseum.

Referring to the figures, examples of the disclosure enable wateringplants on a maneuverable rack via a robotic rack-driver device and aframe-mounted sprinkler device. In some examples, the roboticrack-driver device autonomously identifies a rolling rack containing oneor more plants scheduled for watering. The robotic rack-driver deviceattaches/latches onto the rack and pulls or pushes the rack into a plantwatering zone associated with one or more sprinkler devices, such as,but not limited to, a frame-mounted sprinkler device. When the sprinklerdevice(s) finish watering the plants on the rack, the rack-driver deviceautomatically returns the rack of plants to a correct/assigned locationwithin a plant nursery/garden center. This enables more efficient plantwatering while improving quality of plant maintenance.

In other examples, the system uses sensor data regarding the conditionof plants on a rack to determine when the plants on the rack should bewatered, relocated to a warmer/protected area when there is a danger offrost, removing/culling damaged, wilted or out-of-season plants, etc.The system provides the robotic rack-driver device with instructions tomove a plant rack into the watering zone for watering and/or removed toa different location based on the condition of the plant(s) on the rack.This improves utilization of plant watering resources, improvesefficiency of plant maintenance and reduces water usage.

Referring again to FIG. 1, an exemplary block diagram illustrates asystem 100 for watering plants on a maneuverable rack via a roboticrack-driver device and a frame-mounted sprinkler device. In the exampleof FIG. 1, the computing device 102 represents any device executingcomputer-executable instructions 104 (e.g., as application programs,operating system functionality, or both) to implement the operations andfunctionality associated with the computing device 102. The computingdevice 102 may include a mobile computing device or any other portabledevice. In some examples, the mobile computing device includes a mobiletelephone, laptop, tablet, computing pad, netbook, gaming device, and/orportable media player. The computing device 102 may also include lessportable devices such as servers, desktop personal computers, kiosks, ortabletop devices. The computing device 102 in other examples may beimplemented on a cloud server, such as the cloud server 1400 in FIG. 14.Additionally, the computing device 102 may represent a group ofprocessing units or other computing devices.

In some examples, the computing device 102 has at least one processor106 and a memory 108. The computing device 102 may also include a userinterface device 110.

The processor 106 includes any quantity of processing units and isprogrammed to execute the computer-executable instructions 104. Thecomputer-executable instructions 104 may be performed by the processor106 or by multiple processors within the computing device 102 orperformed by a processor external to the computing device 102. In someexamples, the processor 106 is programmed to execute instructions suchas those illustrated in the figures (e.g., FIG. 16 and FIG. 17).

The computing device 102 further has one or more computer-readable mediasuch as the memory 108. The memory 108 includes any quantity of mediaassociated with or accessible by the computing device 102. The memory108 may be internal to the computing device 102 (as shown in FIG. 1),external to the computing device (not shown), or both (not shown). Insome examples, the memory 108 includes read-only memory and/or memorywired into an analog computing device.

The memory 108 stores data, such as one or more applications. Theapplications, when executed by the processor 106, operate to performfunctionality on the computing device 102. The applications maycommunicate with counterpart applications or services such as webservices accessible via a network 112. For example, the applications mayrepresent downloaded client-side applications that correspond toserver-side services executing in a cloud.

In other examples, the user interface device 110 includes a graphicscard for displaying data to the user and receiving data from the user.The user interface device 110 may also include computer-executableinstructions (e.g., a driver) for operating the graphics card. Further,the user interface device 110 may include a display (e.g., a touchscreen display or natural user interface) and/or computer-executableinstructions (e.g., a driver) for operating the display. The userinterface device 110 may also include one or more of the following toprovide data to the user or receive data from the user: speakers, asound card, a camera, a microphone, a vibration motor, one or moreaccelerometers, a BLUETOOTH® brand communication module, globalpositioning system (GPS) hardware, and a photoreceptive light sensor.For example, the user may input commands or manipulate data by movingthe computing device 102 in one or more ways.

The network 112 is implemented by one or more physical networkcomponents, such as, but without limitation, routers, switches, networkinterface cards (NICs), and other network devices. The network 112 maybe any type of network for enabling communications with remote computingdevices, such as, but not limited to, a local area network (LAN), asubnet, a wide area network (WAN), a wireless (Wi-Fi) network, or anyother type of network. In this example, the network 112 is a WAN, suchas the Internet. However, in other examples, the network 112 may be alocal or private LAN.

In some examples, the system 100 optionally includes a communicationsinterface component 114. The communications interface component 114includes a network interface card and/or computer-executableinstructions (e.g., a driver) for operating the network interface card.Communication between the computing device 102 and other devices mayoccur using any protocol or mechanism over any wired or wirelessconnection. In some examples, the communications interface component 114is operable with short range communication technologies such as by usingnear-field communication (NFC) tags.

In at least some examples, the communications interface component 114enables communications between the computing device 102 and otherdevices, such as but not limited to a set of one or more roboticrack-driver devices 116 for moving racks of plants around a plantcenter, a set of one or more sprinkler devices 118 for spraying wateronto plant racks and/or a plurality of data sources 120 providingreal-time context data 122 associated with the plant center.

The plurality of data sources provides the real-time context data 122associated with one or more plants in the live plant center, one or moreplant racks within the live plant center, one or more areas of the liveplant center, the conditions within the live plant center and/or theconditions/weather surrounding the live plant center. The plurality ofdata sources 120 in some examples includes, without limitation, one ormore news feeds, one or more weather feeds and/or access to one or moreshipping and receiving databases/records. A shipping and receivingdatabase/record includes data associated with expected dates and/ortimes of arrival of a delivery or shipment of plants, inventory ofplants to be delivered on a specific date, delays associated with anexpected delivery/shipment of plants or any other data associated withorders of plants to be delivered or shipped to the live plant center.

The system 100 may optionally include a data storage device 124 forstoring data, such as, but not limited to a set of per-plant maintenancerules 126. The set of per-plant maintenance rules 126 includes one ormore rules for maintaining a specific plant or a type of plant. Forexample, the per-plant maintenance rules 126 may include a rulespecifying that succulent plants are to be watered one time per weekuntil the soil in each pot/container is thoroughly soaked and waterbegins to run out through the drain holes.

The data storage device 124 may include one or more different types ofdata storage devices, such as, for example, one or more rotating disksdrives, one or more solid state drives (SSDs), and/or any other type ofdata storage device. The data storage device 124 in some non-limitingexamples includes a redundant array of independent disks (RAID) array.In other examples, the data storage device 124 includes a database.

The data storage device 124 in this example is included within thecomputing device 102 or associated with the computing device 102. Inother examples, the data storage device 124 may be a remote data storageaccessed by the computing device via the network 112, such as a remotedata storage device, a data storage in a remote data center, or a cloudstorage.

The memory 108 in some examples stores one or more computer-executablecomponents. Exemplary components include a plant maintenance component128 that is executed by the processor 106 of the computing device 102.The plant maintenance component 128 generates a set of maintenanceinstructions 130 for watering one or more plants on a selected plantrack.

A plant rack is a rolling device for displaying and/or transportingplants. A plant rack may include one or more shelves. In other examples,a plant rack may be a rolling dolly or rolling platform for transportingtrays of small plants or large/tall plants.

The set of maintenance instructions includes a per-rack wateringschedule 132. The per-rack watering schedule 132 includes instructionsfor watering plant(s) on a selected plant rack. The wateringinstructions may include a next scheduled watering time, a quantity ofwater and/or a duration of watering for the next scheduled watering timeof the plant rack.

In other examples, the plant maintenance component 128 performs one ormore update(s) 134 of a pre-existing set of maintenance instructions.The update(s) 134 are performed in response to changes in context dataand/or changes in sensor data indicating an increase or decrease inwatering of plant(s) on a one or more plant racks. For example, a changein sensor data and/or context data may indicate changes instatus/condition of one or more plants on a rack, a change inweather/temperature, a change in delivery/shipping schedule, etc.

In this non-limiting example, the plant maintenance component isexecuted on the computing device 102. In other example, the plantmaintenance component 128 may be implemented on one or more of therobotic rack-driver devices and/or the rack-sprinkler devices. In otherwords, the analytics performed by the plant maintenance component may beperformed entirely on a robotic rack-driver device or the analytics maybe performed by two or more robotic rack-driver devices sharing theprocessor load. In these example, a load balancer may be utilized todivide the processing load among the robotic rack-driver devices and/orone or more rack-sprinkler devices.

FIG. 2 is an exemplary block diagram illustrating a live plant center200 including at least one robotic rack-driver device and at least onesprinkler device. The live plant center 200 is a plant nursery, a gardencenter or other retail location storing a plurality of plants 202 on aset of one or more plant racks, such as, but not limited to, the plantrack 204. The plant rack 204 is maneuverable. The plant rack includesone or more rollers (wheels) enabling the plant rack to be pulled,pushed or otherwise moved by a robotic rack-driver device 206.

The robotic rack-driver device 206 is an autonomous robotic deviceincluding an attachment mechanism 208 that latches onto an attachmentpoint 210 on the plant rack 204. The attachment point is a device orportion of a device configured to complement/conform with the attachmentmechanism on the robotic rack-driver device.

When the attachment mechanism 208 engages the attachment point 210, theattachment mechanism activates a lock 212 to prevent the plant rack 204from detaching from the robotic rack-driver device 206 before therobotic rack-driver device 206 releases it.

The robotic rack-driver device 206 selects a specific plant rack basedon a rack identifier (ID) 214 on each plant rack. The rack ID 214 is anidentifier distinguishing the plant rack 204 from other plant racks. Therack ID 214 may be implemented as a universal product code (UPC), amatrix barcode, a quick response (QR) code, a radio frequency identifier(RFID) tag, a label, or any other type of barcode or identifier. Therobotic rack-driver device 206 in this example scans the rack ID 214using one or more sensor device(s) 216. The sensor device(s) 216 mayinclude, without limitation, a barcode reader, a camera for capturing animage of the rack ID 214, an RFID tag reader, a QR code reader, or anyother type of device for reading the rack ID 214.

The robotic rack-driver device 206 may optionally include a device ID218 identifying the robotic rack-driver device 206. A user or othersmart device scans/reads the device ID 218 to identify a selectedrobotic rack-driver device if there are two or more robotic rack-driverdevices in the live plant center 200.

The plant rack 204 includes a set of one or more water absorbent mats220 in some examples. The plurality of plants 202 on the plant rack 204are arranged on one or more shelves. Each shelf in this non-limitingexample includes a water absorbent mat laying on a surface of the shelf.One or more plants are placed on top the mat on a shelf. When the plantson the rack are watered, the water is sprayed onto the water absorbentmat. The mat holds the water, which is absorbed through one or moreholes in the plant pot/container. In this manner, the plants are wateredvia the set of water absorbent mats rather than spraying the wateracross the top of the plants or pouring the water into the pot/containerfor each plant.

The robotic rack-driver device 206 may optionally be powered orrecharged via a poser supply 222. The power supply may be implemented asa set of batteries, an electrical power source, one or more solar panelsattached to the robotic rack-driver device 206, or any other powersource.

The robotic rack-driver device 206 in this example generates sensor datavia one or more sensor devices on the robotic rack-driver device 206. Inother examples, the robotic rack-driver device 206 may receive sensordata 224 from a set of one or more sensor devices 226 within the liveplant center 200. The sensors in the set of sensor devices 226 may belocated on plant displays, plant racks, walls, ceilings, onpoint-of-sale (POS) devices or located anywhere else within the liveplant center. A plant display may include a hanging plant display, atable or other fixture on which plants are resting, a bin, a shelf, acabinet, a counter, or any other display.

In this example, the robotic rack-driver device 206 includes a controldevice 228 including a memory 232 communicatively coupled to a processor230. The processor optionally executes a plant maintenance component forgenerating maintenance instructions, such as, but not limited to, theplant maintenance component 128 in FIG. 1. The instructions may identifya plant rack for watering, identify a date and/or time for wateringplants on the plant rack and/or instructions to move the plant rack to adifferent location. For example, if sensor data or context dataindicates a temperature decrease (possibility of frost), theinstructions may indicate the robotic rack-driver device 206 should movethe plant rack 204 inside a protected/sheltered/heated area or be placedbelow a plastic cover/roof or other protection from the weather.

In other examples, the robotic rack-driver device 206 receives theinstructions 236 from a remote computing device, such as a user device234. The user device is a computing device for generating a set ofmaintenance instructions 130, such as, but not limited to, the computingdevice 102 in FIG. 1. A user may utilize the user device to manuallytrigger watering of a cart/initiate watering by the sprinkler device ifthe sprinkler fails to begin watering automatically. In other examples,the user device may be utilized by the user to manually trigger arobotic rack-driver device to attach to a selected plant rack forwatering. In other words, a user may manually enter a rack ID and promptthe robotic rack-driver device to move the selected rack to the wateringzone for watering at a time when watering is not scheduled (unscheduleddate/time) or otherwise outside of the scheduled watering schedule forthe selected rack or in addition to scheduled watering times.

The robotic rack-driver device 206 moves the plant rack 204 from anassigned location where the plant rack 204 is currently located to awatering zone associated with a frame-mounted sprinkler device 238 atthe next scheduled watering time provided in the instructions 236. Therobotic rack-driver device 206 may utilize a set of navigationinstructions to guide the robotic rack-driver device 206 from theassigned location to the location of the frame-mounted sprinkler device238.

The frame-mounted sprinkler device 238 includes one or more sprinklerheads mounted to a frame. The frame may be an A-frame, arch shaped,rectangular shaped, or any other shape. In this example, theframe-mounted sprinkler device 238 includes a set of water pipes orwater lines within a set of hollow pipes forming the frame. The set ofwater pipes/lines carry water from a water supply 240 to the sprinklerhead(s) for release onto the plant rack 204.

The frame-mounted sprinkler device 238 optionally includes a set of oneor more sensor devices 242. A sensor device in the set of sensor devices242 may include a barcode reader, image capture device (camera), motionsensor, pressure sensor, weight sensor, heat sensor, temperature sensor,hygrometer, proximity sensor, light sensor, or any other type of sensordevice.

The frame-mounted sprinkler device 238 in this example transmits thesensor data generated by the set of sensor devices 242 to the userdevice 234 and/or the robotic rack-driver device 206. In other examples,the frame-mounted sprinkler device 238 optionally analyze sensor datagenerated by the set of sensor devices 242 to detect the presence of theplant rack 204 within the watering zone of the frame-mounted sprinklerdevice 238. When the frame-mounted sprinkler device 238 detects theplant rack 204 in the watering zone, the frame-mounted sprinkler device238 automatically begins spraying water onto the plant(s) on the plantrack, the set of water absorbent mats and/or the pots/containers holdingthe plants. In other examples, the frame-mounted sprinkler device 238does not begin spraying water until the frame-mounted sprinkler device238 receives a signal/instruction from another device, such as, but notlimited to, the robotic rack-driver device 206, the plant rack 204 orthe user device 234.

The watering zone is an area associated with the frame-mounted sprinklerdevice 238 which receives water from the frame-mounted sprinkler device238. In other words, items within the watering zone are within range ofthe sprinkler(s) on the frame-mounted sprinkler device 238. Itemsoutside the watering zone do not receive any water (out of range) of theframe-mounted sprinkler device 238.

The live plant center 200 in at least some examples includes a set ofdrains 244 for collecting/reclaiming water run-off from the plant rack204 during watering. The set of drains may be located in the floor or ina bottom portion of the sprinkler device or any other device forcapturing water run-off from the plant racks.

The reclaimed water 248 is collected in a water receptacle. The waterreceptacle 246 may include one or more water storage containers orreservoirs for holding water. The water receptacle may include one ormore sensor devices for measuring/determining quality of the reclaimedwater, identify any impurities or additives in the water, temperature ofthe water, etc. For example, if fertilizer is added to the water, thesensor device detects the concentration of the fertilizer in parts permillion (PPM). The sensor may also be utilized to identify hard water,water which is too hot or too cold for use on the plants, etc.

The reclaimed water 248 acts as an additional water supply for theframe-mounted sprinkler device 238. The frame-mounted sprinkler device238 re-uses the reclaimed water to water plants on the plant rack 204and/or other plant racks.

In at least some examples, the water may be filtered through a set offilters 250 to remove particulate matter 252 or otherimpurities/additives from the reclaimed water 248 prior to storage orprior to use. In other examples, the frame-mounted sprinkler device 238may include one or more filters to filter the reclaimed water 248 priorto spraying the reclaimed water on other plants. In these examples, theset of sensor devices 242 may also include water quality sensors fordetecting impurities, additives, particulate matter and other contentsof the water supply 240 prior to spraying on the plant rack(s). If thesensor data indicates the water is too acidic or otherwise containsundesirable additives, an instruction may be generated instructing auser to add a neutralizer to the water supply 240 to counteract theeffects of the undesired elements.

The water reclamation system in this example reclaims water run-off fromthe plant racks during watering. In other examples, the waterreclamation system catches rain water and/or utilizes rainwater capturedin rain barrels or other water receptacles.

In still other examples, the system may output instructions to the userdevice instructing a user to manually remove one or more plants from aselected plant rack. For example, if the system determines that one ormore plants on a given rack are yellowing, dying, or otherwise should beremoved from the rack, the system may output a notice to a user deviceinstructing a user to remove those plants. The notice may include aplant ID identifying the plants to be relocated to a clearance area,donation area or other disposal area.

In yet other examples, the system outputs instructions to a drone orother autonomous robot instructing the drone to remove one or moreplants from a given plant rack if the system identifies those plantshave having poor quality, out-of-season, ready for markdown/clearance,or otherwise designated for removal from the cart.

The system may also output a notification to a user device or otherautonomous robot/drone to remove one or more plants which have beenincorrectly placed onto a selected plant rack. For example, if a plantrack contains all bushes, and a user mistakenly misplaces an annualflowering plant on the plant rack, that succulent plant would besubjected to non-optimal watering schedules suited to bushes rather thanannual flowers. The notice may include a rack ID identifying the plantrack and a plant ID identifying the annual plant to be removed from theplant rack and returned to its correct location elsewhere in the plantcenter.

The system may also output notifications to a user device and/or otherautonomous robot/drone to relocate/reposition items on a cart to improveoverall appearance/display value of the item. For example, if plants arearranged so that all red flowering plants are grouped together, andwhite flowering plants are grouped together on another rack, the systemoutputs a notification requesting removal/relocation of any whiteflowering plants mistakenly mixed in with the red flowering plants toimprove appearance of the plants and display value of the displays, aswell as ease of locating desired items.

FIG. 3 is an exemplary block diagram illustrating a robotic rack-driverdevice 300. The robotic rack-driver device 300 includes a set of one ormore wheels 302 having a set of one or more brakes 304. When a brake isapplied to one of the wheels, a regenerative braking system 306 convertskinetic energy into power to recharge one or more batteries in a set ofbatteries 308. The set of batteries 308 may be utilized to power a motor310. The motor may be implemented as an electric motor or any other typeof motor generating drive power 312 to turn one or more of the wheels.

In at least some example, a memory 314 includes an analysis component316 implemented by at least one processor on the robotic rack-driverdevice 300. The analysis component analyzes sensor data 320 generated bya set of sensor devices 322 associated with at least a portion of a liveplant center with real-time context data associated with a plurality ofmaneuverable plant racks using a set of plant maintenance rules. Theanalysis component 316 generates a status 318 of one or more plants onone or more plant racks based on a result of the analysis. A plantmaintenance component identifies 324 utilizes the status 318 to identifya selected plant rack for watering next.

A navigation component 326 generates a set of navigation instructions328 for moving the selected plant rack to a watering zone and/or movethe selected plant rack through a set of rotational motions within thewatering zone during watering. The navigation component 326 optionallyalso generates instructions to return the selected plant rack to theassigned location of the selected plant rack when watering of plants onthe plant rack is completed. For example, if the plant rack ispositioned near an entry way, when watering is complete, the roboticrack-driver device returns the plant rack to the same location near theentry way.

In other example, the robotic rack-driver device 300 may move the plantrack to a different location after watering. For example, if the plantson the plant rack will soon be out-of-season or the sensor dataindicates the plants on the plant rack are slightly yellowing/wilted,the plant rack is moved to a clearance area.

A controller component 330 on the robotic rack-driver device 300 inother examples triggers activation of an attachment mechanism 332 toattach to an attachment point on a selected plant rack. When attachmentis complete, the controller component 330 activates a locking mechanism334 to secure the plant rack to the robotic rack-driver device. Whenwatering of plants on the plant rack is complete and the plant rack isreturned to the plant rack's assigned location, the controller component330 triggers release of the locking mechanism 334. Whenreleased/unlocked, the selected plant rack is detached from the roboticrack-driver device at the assigned location.

The robotic rack-driver device optionally includes a user interfacecomponent for outputting data to a user and/or receiving data from auser. For example, the user interface device may output an alert 338 ifthe robotic rack-driver device is malfunctioning or requiresmaintenance.

The robotic rack-driver device 300 in this example includes acommunications interface component 340. The communications interfacecomponent 340 enables the robotic rack-driver device to send and receivedata via a network, such as, but not limited to, the network 112 in FIG.1.

In this example, the robotic rack-driver device 300 attaches to anunderside of a plant rack. In other examples, the robotic rack-driverdevice 300 attaches to a side portion or front portion of a bottommember of a plant rack. In other words, the robotic rack-driver device300 is positioned in front of the rack and pulls the plant rack ratherthan being positioned underneath the plant rack, as shown in FIG. 10below.

In still other examples, the robotic rack-driver device 300 attaches toa side or back portion of the bottom member of the plant rack and pushesthe plant rack. In these examples, the robotic rack-driver device 300 ispositioned behind the plant rack rather than beneath or in front of theplant rack.

The robotic rack-driver device 300 in another example includes anon-board data storage device for storing sensor data, wateringschedules, status data, historical data, barcode data, or any other datautilized by the robotic rack-driver device 300 for maintaining plants onone or more plant racks.

FIG. 4 is an exemplary block diagram illustrating a maneuverable plantrack 400. The maneuverable plant rack 400 includes a frame 402 includinga set of one or more shelves. The set of shelves in this non-limitingexample includes a top shelf 406 and a bottom shelf 408. In otherexamples, the set of shelves may include a single shelf, as well asthree or more shelves.

The bottom shelf 408 may include a top surface 410 and a bottom surface412. An absorbent mat may be placed on the top surface 410. One or moreplants may be placed on top of the absorbent mat.

A set of wheels 416 and an attachment point 418 for a roboticrack-driver device to connect are attached to the bottom surface 412 ofthe bottom shelf 408. The bottom shelf may also be referred to as thelowest shelf or a bottom member of the rack. The maneuverable plant rack400 may optionally include a set of one or more sensor devices 420 forgenerating sensor data associated with plant(s) on the maneuverableplant rack 400 and/or conditions surrounding the maneuverable plant rack400.

FIG. 5 is an exemplary block diagram illustrating a maneuverable plantrack 500 having an attachment point 502 on an underside 504 of a shelfmember 506. The attachment point 502 in this example is provided betweentwo or more wheels, such as, but not limited to, wheel 508, 510 and/or512. In this example, three wheels are shown. However, the maneuverableplant rack is not limited to three wheels. The maneuverable plant rack400 may include a single wheel, as well as two or more wheels.

The maneuverable plant rack 500 includes a set of shelves 514 fordisplaying one or more live plants. In this example, the set of shelves514 includes four shelves. In other examples, the maneuverable plantrack 500 may include a single shelf, two shelves, as well as three ormore shelves.

The plant rack in this example contains small potted plants. In otherexamples, however, a plant rack may hold larger items such as fruittrees, shade trees, or other larger plant types.

FIG. 6 is an exemplary block diagram illustrating a maneuverable plantrack 600 connected to a robotic rack-driver device 602. An attachmentmechanism 606 on the robotic rack-driver device 602 connects to anattachment point 604 on the plant rack 600.

FIG. 7 is an exemplary block diagram illustrating a robotic rack-driverdevice 700 detached from a maneuverable plant rack. The roboticrack-driver device 700 includes an attachment mechanism 702 on a topportion of a main body 704 of the robotic rack-driver device 700 forgrasping/attaching to a portion of a plant rack.

The attachment mechanism 702 shown in this example is a clamp thatattaches to a portion of the rack. In other examples, the attachmentmechanism may include a coupling device, a universal joint, a suctiondevice, a hook and loop connector, or any other type of device forconnecting the robotic rack-driver device to a portion of the plantrack.

The robotic rack-driver device 700 includes a set of one or more wheels,such as, but not limited to, wheel 706 and 708. The robotic rack-driverdevice 700 optionally includes a set of one or more sensor devices 710for gathering data associated with an environment around the roboticrack-driver device 700.

FIG. 8 is an exemplary block diagram illustrating a frame-mountedsprinkler device 800. A frame 802 includes one or more sprinkler headsspraying water into a watering zone 804, such as, but not limited to,the sprinkler head 806 attached to the top member 808 and/or thesprinkler head 810 attached to the side member 812.

In this example, the frame 802 includes a top member, a first sidemember 814 and a second side member 812. The frame 802 further includeseleven sprinkler heads in total, with three sprinkler heads on the firstside member 814, three sprinkler heads on the second side member 812 andfive sprinkler heads along the top member 808 of the frame. However, inother examples, the frame may include a single sprayer head, as well astwo or more sprinkler heads arranged on the frame 802. The sprinklerheads may be integrated/embedded within the frame or attached to anaperture or other connection point on the frame.

FIG. 9 is an exemplary block diagram illustrating a frame-mountedsprinkler device 900 including a control device 902. In this example,the control device 902 includes a processor 904 communicatively coupledto a memory 906. A sprinkler control component 908 controls activationof a set of one or more sprinkler heads 910 embedded within a frame 912of the frame-mounted sprinkler device 900. The set of sprinkler headssprays/releases water from a water supply 914 into a watering zone. Eachsprinkler head is connected to the water supply 914 via a set of waterlines 916 running through a hollow center of the frame 912. The set ofwater lines 916 optionally include a set of one or more filters 918 toremove additives, particulates and other undesirable elements from thewater prior to spraying on the plant rack.

The frame 912 may optionally include a set of one or more sensor devices920 for generating sensor data describing ambient conditions surroundingthe frame-mounted sprinkler device, such as temperature, humidity, etc.The set of sensor devices 920 in other examples include sensor fordetecting impurities in the water running through the set of water lines916.

In still other examples, the set of sensor devices 920 includes one ormore cameras, pressure sensors, scanner devices, weight sensors or othersensor devices for detecting a presence of a plant rack within thewatering zone. An object detection component 922 in these examplesanalyzes the sensor data 924 generated by the set of sensor devices 920to detect a plant rack entering the watering zone and/or detect a plantrack leaving/exiting the watering zone. In these examples, the sprinklercontrol component 908 automatically initiates/turns on the sprinklerdevice to begin watering when a plant rack is detected within thewatering zone. Likewise, the sprinkler control component 908 ceaseswatering/stops release of water from the sprinkler head(s) when thequantity 926 of water specified in the maintenance instructions 930 havebeen released onto the plant rack.

In other examples, when the object detection component 922 identifies aplant rack in the watering zone, the sprinkler control component turnson the set of sprinkler heads to release water into the watering zonefor a duration 928 of time specified in the maintenance instructions 930for the identified plant rack in the watering zone.

The frame-mounted sprinkler device 900 may optionally include acommunications interface device 932 enabling the device to send andreceive data from other devices, such as, but not limited to, one ormore robotic rack-driver device and/or one or more plant racks. Theframe-mounted sprinkler device 900 may also include a user interfacedevice 934. The user interface device 934 enables a user toprovide/input data and/or receive output data from the frame-mountedsprinkler device. In some examples, if the sprinkler device isexperiencing technical difficulties/mechanical failure or requiresmaintenance, the user interface device 934 outputs an alert. Thealert/notification may be output via a light, a speaker, a displayscreen, or any other type of output.

FIG. 10 is an exemplary block diagram illustrating a watering zone 1000associated with a frame-mounted sprinkler device 1002. In this example,a robotic rack-driver device 1004 moves a plant rack 1006 along a route1008 away from an assigned location 1010 of the plant rack to thewatering zone. The robotic rack-driver device in this non-limitingexample latches onto a front or side portion of the rack and pulls therack along a path to the watering zone. In other examples, the roboticrack-driver device attaches to an underside of the rack and ispositioned underneath the rack instead of in front of the rack as shownin FIG. 10. In still other examples, the robotic rack-driver device maypush the rack in a desired direction.

When the plant rack 1006 is detected within the watering zone, theframe-mounted sprinkler device 1002 begins watering. When watering iscompleted, the robotic rack-driver device 1004 returns the plant rack1006 back to the assigned location 1010 of the plant rack.

In this example, a single robotic rack-driver device pulls the plantrack to the watering zone and then returns the rack to a desired displaylocation or clearance area. In other examples, if the rack is very largeor heavy, two robotic rack-driver devices may work together to pull orpush the rack. In other words, the rack may include multiple attachmentpoints at which two or more robotic rack-driver devices may attach tothe rack to pull and/or push the rack in a desired direction.

In the example above, one robotic rack-driver device may attach to afront portion of the rack and pull the rack while another roboticrack-driver device attaches to a back portion of the rack and pushes therack. In still another example, two robotic rack-driver devices mayattach to an underside of the rack to drive the rack together. In yetanother example, two robotic rack-driver devices may attach to a frontportion of the bottom member side-by-side and pull the rack together tothe watering zone. In another example, one robotic rack-driver deviceattaches to one side of the rack and another robotic rack-driver deviceattaches to another side of the rack. The two robotic rack-driverdevices guide/drive the rack together towards the watering zone.

In examples in which two or more robotic rack-driver devices drive arack, the two robotic rack-driver devices communicate with each othervia the network to coordinate/match their speeds and direction. In thismanner, the two robotic rack-driver devices ensure they are coordinatingtheir efforts and following the same path/navigational instructions.This enables the robotic rack-driver devices to pull larger carts/racksor rolling trays holding one or more heavy/bulky items, such as fruittrees or other heavy items.

FIG. 11 is an exemplary block diagram illustrating a robotic rack-driverdevice 1104 moving a plant rack 1102 inside a watering zone 1100associated with a frame-mounted sprinkler device 1108. The frame-mountedsprinkler device 1108 includes a set of sprinklers spraying water ontothe plant rack 1102 within the watering zone 1100. In this non-limitingexample, the set of sprinklers includes sprinkler 1110, sprinkler 1112and sprinkler 1114. The examples are not limited to three sprinklerheads. In other examples, the frame-mounted sprinkler device 1108 mayinclude a single sprinkler device, as well as two or more sprinklers.

In this example, the robotic rack-driver device 1104 attaches to theplant rack via an attachment mechanism. In this example, the attachmentmechanism 1106 attaches to the plant rack 1102 via two connectionpoints. In other examples, the attachment mechanism may attach to theplant rack via a single attachment point, as well as three or moreattachment points.

The robotic rack-driver device 1104 maneuvers the plant rack 1102 withinthe watering zone in accordance with a set of navigational instructionsspecifying a set of motions/revolutions. The robotic rack-driver device1104 moves the plant rack side-to-side 1116, forward or backward 1118and/or in a circular rotation along a three-hundred and sixty-degreeaxis to ensure equal distribution of water onto all plants on the plantrack.

Rotating the plant rack may during watering includes turning the plantrack or otherwise moving the plant rack within the watering zone duringwater. Rotating the rack includes turning the rack in a circle, turningthe rack in a semi-circle, moving the rack from side-to-side, moving therack forward and/or moving the rack backward. Turning in a circle or asemi-circle includes turning the rack by forty-five degrees, turning therack by ninety degrees, turning the rack by one-hundred eighty degrees,turning the rack by three-hundred and sixty degrees or any other degreeof rotation.

FIG. 12 is an exemplary block diagram illustrating a set of sensordevices 1200. The set of sensor devices 1200 in some example includessensor devices on a robotic rack-driver device. In other examples, setof sensor devices 1200 includes sensor devices on a plant rack. In stillother examples, the set of sensor devices 1200 are located on aframe-mounted sprinkler device. The set of sensor devices 1200 in otherexamples may include sensor devices within a live plant center.

The set of sensor devices 1200 in this example includes a set of one ormore temperature sensors 1202 such as a thermometer, a set of one ormore hygrometers 1204 for measuring humidity, a set of one or moreweight sensors 1206, a set of one or more pressure sensors 1208, a setof one or more infrared (IR) sensors 1210, a set of one or more motionsensors 1212, a set of one or more scanner devices 1214, and/or a set ofone or more image capture devices 1216, such as, but not limited to, acamera 1218. The set of scanner devices 1214 may include a barcodescanner, a QR code reader, an RFID tag reader, or any other type ofscanner. A barcode scanner may include a UPC code reader, a matrixbarcode reader, etc.

FIG. 13 is an exemplary block diagram illustrating a plant maintenancecomponent 1300. A plant type scoring component 1302 analyzes real-timedata 1304 with plant type data 1306 and/or plant status data 1308 togenerate an evapotranspiration (ET) rate for a given plant or a givenplant type. The plant type data 1306 is data associated with a type ofplant. For example, if the plant type is a rose bush, the plant typedata 1306 includes data associated with rose bushes, such as, butwithout limitation, number of hours of sun per day, watersaturation/moisture levels, etc.

The plant type scoring component 1302 generates an ET score 1314 for theselected plant and/or the plant type associated with the selected plantbased on the ET rate 1310 and a set of scoring criteria 1312. Thescoring criteria includes rules for scoring each plant type based on theET rate.

A scheduling component 1316 generates a per-plant water schedule 1318for a selected plant or the selected plant type based on the ET score1314 and a set of per-plant maintenance rules 1320 for that type ofplant. The per-plant water schedule is customized based on weatherconditions, ambient temperature and humidity in the plant center, theplant type data, etc. The per-plant water schedule 1318 may include howmany times to water the plant per-day (daily frequency of watering), adate and/or time for the next schedule watering, a quantity 1326 ofwater to be applied to the selected plant or to plants of the sameselected plant type, and/or duration 1328 for watering. The duration1328 refers to length of time to spray water on the plant rack when theplant rack is within the watering zone.

A disposition component 1322 generates a recommendation 1327 fordisposing of a plant based on the plant's condition based on a set ofdisposition rules 1324. The recommendation 1327 may include arecommendation to markdown 1332 one or more plants or plant types(reduce price). A markdown may occur when a plant type is out-of-seasonor almost out-of-season.

A recommendation of relocation 1329 of one or more plants, types ofplants or plant rack(s) may be made when a rack of plants or one or moreplants on the rack should be moved to a different location. For example,a plant may be moved to a location with better light, more shade or forbetter coordination with other plants/plant colors. Plants or racks ofplants may also be moved to a markdown/clearance area.

A recommendation may also include a recommendation to add fertilizer1330 or other additives to the plant or water sprayed on the plant. Arecommendation may be made based on a condition of a plant, such asyellowing, change in color, new growth, lack of new growth, wilting,leaf loss, etc. The recommendation may also be made based on weather andseason and whether the plant is an annual or perennial.

FIG. 14 is an exemplary block diagram illustrating a cloud server 1400.The cloud server 1400 in this example implements an analysis component1402. The analysis component includes an artificial intelligence (AI)with machine learning (ML) permitting the system to analyze real-timedata using historical data and training data using pattern analysis toimprove watering schedules and plant maintenance/plant quality.

The analysis component performs analytics in this example remotely fromthe robotic rack-driver device to reduce resource usage on the roboticrack-driver device. The cloud server maintains network connectivity withdevices such as the robotic rack-driver device, sprinkler device and/orplant racks via the network.

In this example, the analysis component 1402 generates a status update1404 for a plant based on results of analysis of sensor data and contextdata. The status update 1404 may include a plant ID 1406, a descriptor1408 describing the condition and/or appearance of the plant, and/or alocation 1410 of the plant.

The analysis component may optionally generate a set of wateringinstructions 1412 for a plant or plant type. The analysis component inother examples generates an update 1414 for a pre-existing set ofwatering instructions for a plant or plant type. The analysis componentmay also perform analysis of real-time data to generate the dispositioninstructions 1416 for a plant or plant type on the remote cloud server.The disposition instructions may include markdown instructions 1418 toreduce price of a plant/plant type. The disposition instructions includerelocation instructions 1420 to remove a plant or plant type to adifferent location or reposition a plant in its current location.

In still other non-limiting examples, the cloud server performsanalytics on real-time plant data to generate the ET rate 1422 and/orthe ET score 1424. The cloud server 1400 transmits the status update1404, set of watering instructions 1412, disposition instructions 1416,ET rate 1422 and/or ET score 1424 to the robotic rack-driver device viaa network.

FIG. 15 is an exemplary block diagram illustrating a database 1500 forstoring plant maintenance data 1502. The plant maintenance data 1502 mayinclude historical plant watering data 1504 and/or plant data 1506. Thehistorical plant watering data may include adjacency history detailingother plants placed near or adjacent to the plant/plant type on a plantdisplay. The historical plant watering data may include wateringhistory, previous location data, additives/fertilizer added to waterand/or water quality of water sprayed on the plants. Plant data 1506 mayinclude plant type, plant size, plant volume (volume of pot/container,current location of plant in plant center, and/or condition or status ofthe plant.

Watering schedule 1508 includes details for a next scheduled watering ofa plant/plant type or plants on a plant rack. The watering schedule mayspecify quantity of water to be sprayed, frequency of watering per day,frequency of watering per-week, frequency of watering per-month, dateand/or time of the next scheduled watering, and/or duration of wateringtime.

Context data 1510 includes data describing current weather, temperatureand/or humidity. The context data may also include delivery/shipmentschedules detailing when new plants are scheduled for delivery to theplant center and/or the types of plants scheduled for delivery.

Navigational instructions 1512 optionally include one or more routesbetween a plant rack's current location and a watering zone. The routemay also include a path from the watering zone to a previous location ofthe plant rack or a newly assigned location for the plant rack. A set ofrotational motions in the navigation instructions specifies forward,backward, side-to-side and/or rotational (spinning) movements of theplant rack to be performed/carried out by the robotic rack-driver deviceto assist with even spreading of water across plants on the plant rack.

FIG. 16 is an exemplary flow chart illustrating operation of thecomputing device to water plants on a plant rack via a frame-mountedsprinkler device. The process shown in FIG. 16 may be performed by acomputing device, such as the robotic rack-driver device in FIG. 1.

The process begins by analyzing sensor data and context data usingstatus criteria at 1602. The robotic rack-driver device generates astatus update for one or more plants on a plant rack at 1604. Therobotic rack-driver device determines if a change in a watering scheduleis needed at 1606. If yes, the robotic rack-driver device updateswatering instructions for the plant rack at 1608. The roboticrack-driver device determines if it is time to water plants on the plantrack 1610. If no, the robotic rack-driver device waits 1612 until it istime to water the plants on the plant rack.

The robotic rack-driver device moves the plant rack to the water zone at1614. The robotic rack-driver device determines if watering is completeat 1616. If no, the robotic rack-driver device waits until watering iscompleted. The robotic rack-driver device returns the plant rack to theplant rack's original location at 1620. The process terminatesthereafter.

While the operations illustrated in FIG. 16 are performed by a computingdevice, aspects of the disclosure contemplate performance of theoperations by other entities. For example, a cloud service may performone or more of the operations shown in FIG. 16.

FIG. 17 is an exemplary flow chart illustrating operation of thecomputing device to maneuver a plant rack during watering via a roboticrack-driver device. The process shown in FIG. 17 may be performed by acomputing device, such as the robotic rack-driver device in FIG. 1.

The process begins by moving a plant rack to a watering zone at 1702.The robotic rack-driver device determines if water is released from thesprinkler device at 1704. If no, the robotic rack-driver device sends asignal to activate the sprinklers at 1706. The robotic rack-driverdevice performs rotational motions during the watering cycle to rotatethe plant rack during watering at 1708.

The robotic rack-driver device determines if watering is complete at1710. If yes, the robotic rack-driver device returns the plant rack tothe plant rack's assigned location at 1712. The robotic rack-driverdevice determines if it is time to water plants on a next plant rack at1714. If yes, the robotic rack-driver device attaches to the next rackat 1716. The robotic rack-driver device iteratively performs operations1702 through 1716 until there are no additional plant racks scheduledfor watering at 1714. The process terminates thereafter.

While the operations illustrated in FIG. 17 are performed by a computingdevice, aspects of the disclosure contemplate performance of theoperations by other entities. For example, a cloud service may performone or more of the operations.

Additional Examples

In some examples, the system utilizes real-time weather data and othersensor data to forecast/predict watering requirements for plant and/ormodify watering schedules for plants in a garden center. A roboticdevice moves plants on a rack through a watering frame when needed basedon the real-time data. The system utilizes sensor devices to determinewhen a rack containing one or more plants is within a watering zone ofthe sprinkler device. The system also analyzes the sensor data (imagedata, scanner data, barcode data) to identify the type of plants on eachrack.

In some examples, each type of plant or plant category has a differentwatering schedule and/or different additives added when watering. In oneexample, plants are placed into eight different plant type categories.Plants in each of the eight categories receives different amounts ofwater during watering. The plants in each category may also be wateredwith different frequency. For example, cacti may be watered lessfrequently than annuals. Likewise, plants in the category for annualflowers may be watered more frequently each day or each week than plantsin the category for bushes. In other words, racks containing annuals arerun through the sprinkler device more frequently than racks containingbushes or cacti.

In other examples, the system maintains a blockchain ledger associatedwith each rack/type of plant as a step in the chain of custody. In theseexamples, the system records date, time and frequency of watering,weather, and duration of watering/quantity of water placed on eachplant. The blockchain record is maintained from day of delivery of theplant to the plant center all the way through final markdown and/orsale. The blockchain enables the system and/or a user to understand thepath of the rack through the supply chain. In other words, thehistorical data/blockchain data identifies which grower/supplierprovided the plant, how the plant was handled/maintained through thesupply chain and store, when watering occurred, when fertilizationoccurred, type of fertilizer applied, quantity of water and/orfertilizer applied, any other additives/neutralizers applied,temperature exposures by the plant, etc. This data enables improvedquality control and better maintenance of plants.

The system provides real-time updated watering of plants based onprevious watering of the plants, current weather (temperature andhumidity), water requirements for each type of plant, and/or other localenvironment conditions associated with the plant center where the plantsare located.

The robotic rack-driver device in some examples downloads wateringinstructions and/or navigational directions from a cloud on a regularbasis, such as, but not limited to, four to six times per day. Theprocessing/analysis of real-tie data in this example occurs in the cloudserver rather than on the robotic rack-driver device. The instructionsidentify which rack a robotic rack-driver device should attach to andtake to the watering zone for watering. The robotic rack-driver devicecommunicates via the network with the sprinkler device to initiatewatering when the robotic rack-driver device arrives in the wateringzone with the rack.

The robotic rack-driver device in other examples collects sensor datathroughout the day. The sensor data may be stored on the roboticrack-driver device or uploaded to the cloud or other storage device. Theuploaded data may include when plants on each rack are watered, how muchthey are watered (quantity), frequency of watering, temperature,humidity, heat off concrete, wind, frost, water quality, etc.

The barcode or other plant ID on a given plant may include historicalinformation for the plant, such as, but not limited to, growerinformation, shipment dates, supplier, dates of arrival at the plantcenter, frequency of watering, time of day, etc. The robotic rack-driverdevice has real-time access to plant data (item data) on the storesystem, cloud server or other data storage.

The system determines the state of plants on each rack—if plants shouldbe moved to clearance, moved to a location with more light/sun, increasewatering frequency, etc. Machine vision analytics are utilized todetermine the plant's condition—browning/yellowing foliage, presence ofperforations, poor pot drainage, or other undesirable conditions. Thesystem documents/records data associated with quality, infestations,wilting, yellowing, loss of foliage, bloom, dead heads, etc.

Alternatively, or in addition to the other examples described herein,examples include any combination of the following:

-   -   a set of navigational instructions generated by the plant        maintenance component, the set of navigational instructions        comprising at least one degree of rotation for turning the plant        rack within the watering zone during the predetermined        time-period in which the quantity of water is released onto the        plant rack via the set of sprinklers associated with the        frame-mounted sprinkler device;    -   a plurality of data sources providing the real-time context data        associated with the live plant center, the plurality of data        sources comprising at least one of a news feed, a weather feed        and a shipping and receiving database;    -   a cloud server comprising an analysis component, the analysis        component analyzing the real-time context data associated with        the live plant center, the sensor data generated by the set of        sensor devices within the live plant center and historical plant        data associated with the plurality of plants using a set of        per-plant maintenance rules to generate a status update for at        least one plant in the plurality of plants on the plant rack;    -   the status update comprising at least one of a descriptor        associated with a condition of the at least one plant, an        appearance of the at least one plant and a current location of        the at least one plant;    -   a cloud server comprising an analysis component;    -   the analysis component analyzing the real-time context data        associated with the live plant center, the sensor data generated        by the set of sensor devices within the live plant center and        historical plant data associated with the plurality of plants        using a set of per-plant maintenance rules;    -   the analysis component generates an updated set of watering        instructions for the plant rack based on the analysis results;    -   the updated set of watering instructions including a date for a        next watering of the plurality of plants on the plant rack, a        time for the next watering, a duration of the next watering and        a quantity of additives to be added to the quantity of water        during the watering of the plant rack;    -   the analysis component generates disposition instructions for at        least one plant in the plurality of plants based on the analysis        results;    -   the disposition instructions comprising at least one of an        instruction to markdown the at least one plant and an        instruction to move the at least one plant to a different        location;    -   wherein the set of sensor devices comprises at least one of a        set of thermometers, a set of hygrometers, a set of pressure        sensors, a set of weight sensors, a set of motion sensors, a set        of image capture devices and a set of scanner devices;    -   the controller component, implemented on the at least one        processor, wherein the controller component returns the plant        rack to the assigned location of the plant rack on condition at        least one sensor device on the robotic rack-driver device        detects an absence of water released from the frame-mounted        sprinkler device indicating completion of the predetermined        watering duration;    -   a set of shelves for displaying at least one plant on each shelf        in the set of shelves;    -   a set of water absorbent mats associated with the set of        shelves, wherein at least one water absorbent mat is placed on        each shelf in the set of shelves;    -   a set of drains associated with the frame-mounted sprinkler        device rack to reclaim water draining off the plant rack;    -   a set of water reclamation reservoirs for storing reclaimed        water captured by the set of drains;    -   a set of filters associated with the frame-mounted sprinkler        device, wherein the set of filters remove particulate matter        from the reclaimed water in the set of water reclamation        reservoirs prior to re-using the reclaimed water to water at        least one plant on a next plant rack;    -   releasing, by a sprinkler control component on the frame-mounted        sprinkler device, the quantity of water onto the selected plant        rack for the watering duration on condition at least one sensor        on the frame-mounted sprinkler device detects a presence of the        selected rack within the watering zone;    -   analyzing, by a cloud server, real-time weather data associated        with the live plant center to generate an ET rate for the live        plant center;    -   generating an ET score for each plant type on a plant rack in        the plurality of plant racks within the live plant center based        on the ET rate and plant data for each plant type, the plant        data comprising watering history, plant state data, plant size,        plant volume, adjacency history, location history and weather        data;    -   driving, by the robotic rack-driver device, the selected rack in        a selected direction, wherein the selected direction comprises        at least one of a forward direction, a backward direction and a        circular direction;    -   obtaining sensor data associated with at least one plant on the        selected plant rack from at least one sensor device within the        live plant center, wherein the at least one sensor device is        located on the robotic rack-driver device, the frame-mounted        sprinkler device or the selected plant rack;    -   removably connecting, by an attachment mechanism on the robotic        rack-driver device, a portion of the robotic rack-driver device        to a portion of the selected plant rack, wherein the robotic        rack-driver device propels the selected plant rack via a motor        on the robotic rack-driver device;    -   an analysis component implemented by at least one processor on        the robotic rack-driver device that analyzes sensor data        associated with at least a portion of a live plant center with        real-time context data associated with a plurality of        maneuverable plant racks using a set of plant maintenance rules        to identify a selected plant rack for watering;    -   an attachment mechanism on the robotic rack-driver device        couples to an attachment point on a portion of the selected        plant rack;    -   an electric motor provides drive power to at least one wheel on        the robotic rack-driver device, the selected plant rack along a        pre-determined route from an assigned location of the selected        plant rack to a watering zone associated with a selected        frame-mounted sprinkler device;    -   a navigation component implemented on at least one processor        generates navigation instructions for moving the selected plant        rack through a set of rotational motions within the watering        zone on condition the frame-mounted sprinkler device begins        releasing water onto the selected plant rack;    -   the navigation component generates instructions to return the        selected plant rack to the assigned location, by the robotic        rack-driver device, on condition a duration watering assigned to        the selected plant rack is completed; and    -   the attachment mechanism releases a locking mechanism to release        the selected plant rack from the robotic rack-driver device at        the assigned location;    -   the controller component, implemented on the at least one        processor, selects a next plant rack in the plurality of        maneuverable plant racks due for watering;    -   the navigation component guides the robotic rack-driver device        to an assigned location of the next plant rack;    -   the attachment mechanism of the robotic rack-driver device        connects to an attachment point on a portion of the next plant        rack;    -   the navigation component guides the robotic rack-driver device        attached to the next plant rack to the watering zone associated        with the selected frame-mounted sprinkler device, wherein the        robotic rack-driver device waits until the frame-mounted        sprinkler device releases a per-rack quantity of water onto the        next plant rack;    -   the navigation component directs the robotic rack-driver device        with the next plant rack to the assigned location of the next        plant rack on condition watering is completed;    -   a regenerative braking system associated with a set of brakes is        connected to at least one wheel on the robotic rack-driver        device, wherein the regenerative braking system recharges a set        of batteries providing power to an electric motor on the robotic        rack-driver device; and    -   a plant maintenance component implemented on the at least one        processor updates an historical watering data record on a data        storage to reflect completion of a watering task associated with        the selected plant rack.

At least a portion of the functionality of the various elements in FIG.1, FIG. 2, FIG. 3, FIG. 4, FIG. 5, FIG. 6, FIG. 7, FIG. 8, FIG. 9, FIG.10, FIG. 11, FIG. 12, FIG. 13, FIG. 14, and FIG. 15 may be performed byother elements in FIG. 1, FIG. 2, FIG. 3, FIG. 4, FIG. 5, FIG. 6, FIG.7, FIG. 8, FIG. 9, FIG. 10, FIG. 11, FIG. 12, FIG. 13, FIG. 14, and FIG.15, or an entity (e.g., processor 106, web service, server, applicationprogram, computing device, etc.) not shown in FIG. 1, FIG. 2, FIG. 3,FIG. 4, FIG. 5, FIG. 6, FIG. 7, FIG. 8, FIG. 9, FIG. 10, FIG. 11, FIG.12, FIG. 13, FIG. 14, and FIG. 15.

In some examples, the operations illustrated in FIG. 16 and FIG. 17 maybe implemented as software instructions encoded on a computer-readablemedium, in hardware programmed or designed to perform the operations, orboth. For example, aspects of the disclosure may be implemented as asystem on a chip or other circuitry including a plurality ofinterconnected, electrically conductive elements.

While the aspects of the disclosure have been described in terms ofvarious examples with their associated operations, a person skilled inthe art would appreciate that a combination of operations from anynumber of different examples is also within scope of the aspects of thedisclosure.

The term “Wi-Fi” as used herein refers, in some examples, to a wirelesslocal area network using high frequency radio signals for thetransmission of data. The term “BLUETOOTH®” as used herein refers, insome examples, to a wireless technology standard for exchanging dataover short distances using short wavelength radio transmission. The term“cellular” as used herein refers, in some examples, to a wirelesscommunication system using short-range radio stations that, when joinedtogether, enable the transmission of data over a wide geographic area.The term “NFC” as used herein refers, in some examples, to a short-rangehigh frequency wireless communication technology for the exchange ofdata over short distances.

Exemplary Operating Environment

Exemplary computer-readable media include flash memory drives, digitalversatile discs (DVDs), compact discs (CDs), floppy disks, and tapecassettes. By way of example and not limitation, computer-readable mediacomprise computer storage media and communication media. Computerstorage media include volatile and nonvolatile, removable andnon-removable media implemented in any method or technology for storageof information such as computer-readable instructions, data structures,program modules and the like. Computer storage media are tangible andmutually exclusive to communication media. Computer storage media areimplemented in hardware and exclude carrier waves and propagatedsignals. Computer storage media for purposes of this disclosure are notsignals per se. Exemplary computer storage media include hard disks,flash drives, and other solid-state memory. In contrast, communicationmedia typically embody computer-readable instructions, data structures,program modules, or the like, in a modulated data signal such as acarrier wave or other transport mechanism and include any informationdelivery media.

Although described in connection with an exemplary computing systemenvironment, examples of the disclosure are capable of implementationwith numerous other general purpose or special purpose computing systemenvironments, configurations, or devices.

Examples of well-known computing systems, environments, and/orconfigurations that may be suitable for use with aspects of thedisclosure include, but are not limited to, mobile computing devices,personal computers, server computers, hand-held or laptop devices,multiprocessor systems, gaming consoles, microprocessor-based systems,set top boxes, programmable consumer electronics, mobile telephones,mobile computing and/or communication devices in wearable or accessoryform factors (e.g., watches, glasses, headsets, or earphones), networkPCs, minicomputers, mainframe computers, distributed computingenvironments that include any of the above systems or devices, and thelike. Such systems or devices may accept input from the user in any way,including from input devices such as a keyboard or pointing device, viagesture input, proximity input (such as by hovering), and/or via voiceinput.

Examples of the disclosure may be described in the general context ofcomputer-executable instructions, such as program modules, executed byone or more computers or other devices in software, firmware, hardware,or a combination thereof. The computer-executable instructions may beorganized into one or more computer-executable components or modules.Generally, program modules include, but are not limited to, routines,programs, objects, components, and data structures that perform tasks orimplement abstract data types. Aspects of the disclosure may beimplemented with any number and organization of such components ormodules. For example, aspects of the disclosure are not limited to thespecific computer-executable instructions or the specific components ormodules illustrated in the figures and described herein. Other examplesof the disclosure may include different computer-executable instructionsor components having more functionality or less functionality thanillustrated and described herein.

In examples involving a general-purpose computer, aspects of thedisclosure transform the general-purpose computer into a special-purposecomputing device when configured to execute the instructions describedherein.

The examples illustrated and described herein as well as examples notspecifically described herein but within the scope of aspects of thedisclosure constitute exemplary means for autonomously maintainingplants based on real-time data. For example, the elements illustrated inFIG. 1, FIG. 2, FIG. 3, FIG. 4, FIG. 5, FIG. 6, FIG. 7, FIG. 8, FIG. 9,FIG. 10, FIG. 11, FIG. 12, FIG. 13, FIG. 14, and FIG. 15, such as whenencoded to perform the operations illustrated in FIG. 16 and FIG. 17,constitute exemplary means for obtaining sensor data associated with atleast one plant on the plant rack; exemplary means for analyzing thesensor data and real-time context data associated with the live plantcenter using a set of status criteria to generate an updated status ofthe at least one plant on the selected plant rack; exemplary means forupdating a set of watering instructions for the selected plant rack;exemplary means for driving the robotic rack-driver device attached to aplant rack from a first location to a watering zone; exemplary means fordetecting release of water onto the selected plant rack within thewatering zone; exemplary means for initiating a set of rotationalmotions, by the robotic rack-driver device, maneuvering the selectedplant rack within the watering zone to enable equal water distributionacross the selected plant rack; and exemplary means for returning theselected plant rack to the assigned location of the plant rack oncondition the at least one sensor detects a cessation of water emissionsfrom the rack-mounted sprinkler device.

Other non-limiting examples provide one or more computer storage deviceshaving a first computer-executable instructions stored thereon forproviding autonomous plant-watering via a robotic device in a live plantcenter. When executed by a computer, the computer performs operationsincluding analyzing sensor data, generating per-rack watering schedulesbased on condition of the plants and/or conditions within the live plantcenter and controlling release/timing of plant watering on a per-rackbasis to conform with the customized watering schedule for each rack.

The order of execution or performance of the operations in examples ofthe disclosure illustrated and described herein is not essential, unlessotherwise specified. That is, the operations may be performed in anyorder, unless otherwise specified, and examples of the disclosure mayinclude additional or fewer operations than those disclosed herein. Forexample, it is contemplated that executing or performing an operationbefore, contemporaneously with, or after another operation is within thescope of aspects of the disclosure.

When introducing elements of aspects of the disclosure or the examplesthereof, the articles “a,” “an,” “the,” and “said” are intended to meanthat there are one or more of the elements. The terms “comprising,”“including,” and “having” are intended to be inclusive and mean thatthere may be additional elements other than the listed elements. Theterm “exemplary” is intended to mean “an example of” The phrase “one ormore of the following: A, B, and C” means “at least one of A and/or atleast one of B and/or at least one of C.”

In an exemplary embodiment, one or more of the exemplary embodimentsinclude one or more localized Internet of Things (IoT) devices andcontrollers. As a result, in an exemplary embodiment, the localized IoTdevices and controllers can perform most, if not all, of thecomputational load and associated monitoring and then later asynchronousuploading of summary data can be performed by a designated one of theIoT devices to a remote server. In this manner, the computational effortof the overall system may be reduced significantly. For example,whenever localized monitoring allows remote transmission, secondaryutilization of controllers keeps securing data for other IoT devices andpermits periodic asynchronous uploading of the summary data to theremote server. In addition, in an exemplary embodiment, the periodicasynchronous uploading of summary data may include a key kernel indexsummary of the data as created under nominal conditions. In an exemplaryembodiment, the kernel encodes relatively recently acquired intermittentdata (“KRI”). As a result, in an exemplary embodiment, KRI includes acontinuously utilized near term source of data, but KRI may be discardeddepending upon the degree to which such KRI has any value based on localprocessing and evaluation of such KRI. In an exemplary embodiment, KRImay not even be utilized in any form if it is determined that KRI istransient and may be considered as signal noise. Furthermore, in anexemplary embodiment, the kernel rejects generic data to provide amodified kernel (“KRG”) by filtering incoming raw data using astochastic filter that thereby provides a predictive model of one ormore future states of the system and can thereby filter out data that isnot consistent with the modeled future states which may, for example,reflect generic background data. In an exemplary embodiment, KRGincrementally sequences all future undefined cached kernels of data tofilter out data that may reflect generic background data. In anexemplary embodiment, KRG further incrementally sequences all futureundefined cached kernels having encoded asynchronous data to filter outdata that may reflect generic background data.

Having described aspects of the disclosure in detail, it will beapparent that modifications and variations are possible withoutdeparting from the scope of aspects of the disclosure as defined in theappended claims. As various changes could be made in the aboveconstructions, products, and methods without departing from the scope ofaspects of the disclosure, it is intended that all matter contained inthe above description and shown in the accompanying drawings shall beinterpreted as illustrative and not in a limiting sense.

What is claimed is:
 1. A system for watering plants on a maneuverablerack, the system comprising: a plurality of plants associated with aplant rack in a live plant center, the plant rack comprising: a set ofwheels connected to an underside of a shelf member; an attachment pointassociated with a portion of the shelf member; a robotic rack-driverdevice for moving the plant rack to a watering zone associated with aframe-mounted sprinkler device, the robotic rack-driver devicecomprising: an attachment mechanism removably connects to the attachmentpoint on the plant rack; a motor providing drive power to at least onewheel on the robotic rack-driver device to drive the plant rack along aroute from an assigned location of the plant rack to the watering zone;a control device comprising at least one processor communicativelycoupled to a memory; an analysis component, implemented on the at leastone processor, identifies a current state of at least one plant on theplant rack based on a result of an analysis of sensor data generated byat least one sensor device associated with the plant rack and real-timecontext data associated with the live plant center; a plant maintenancecomponent, implemented on the at least one processor, generates a set ofmaintenance instructions for watering the plurality of plants on theplant rack; a set of sensor devices on the frame-mounted sprinklerdevice detects a presence of the plant rack within the watering zone;and a sprinkler control component on the frame-mounted sprinkler devicetriggers release of a quantity of water onto the plant rack via a set ofsprinklers for a predetermined watering duration specified in the set ofmaintenance instructions.
 2. The system of claim 1, further comprising:a set of navigational instructions generated by a navigationalcomponent, the set of navigational instructions comprising at least onedegree of rotation for turning the plant rack within the watering zonewhile the quantity of water is released onto the plant rack via the setof sprinklers associated with the frame-mounted sprinkler device.
 3. Thesystem of claim 1, further comprising: a plurality of data sourcesproviding the real-time context data associated with the live plantcenter, the plurality of data sources comprising at least one of a newsfeed, a weather feed and a shipping and receiving database.
 4. Thesystem of claim 1, further comprising: an analysis component,implemented on a cloud server, the analysis component analyzing thereal-time context data associated with the live plant center, the sensordata generated by the set of sensor devices within the live plant centerand historical plant watering data associated with the plurality ofplants using a set of per-plant maintenance rules; and the analysiscomponent generates a status update for at least one plant in theplurality of plants on the plant rack based on a result of the analysis,the status update comprising at least one of a descriptor associatedwith a condition of the at least one plant, an appearance of the atleast one plant and a current location of the at least one plant.
 5. Thesystem of claim 1, further comprising: an analysis component,implemented on a cloud server, analyzing the real-time context dataassociated with the live plant center, the sensor data generated by theset of sensor devices within the live plant center and historical plantdata associated with the plurality of plants using a set of per-plantmaintenance rules; and the analysis component generates an updated setof watering instructions for the plant rack based on a result of theanalysis, the updated set of watering instructions including a date fora next watering of the plurality of plants on the plant rack, a time forthe next watering, a duration of the next watering and a quantity ofadditives to be added to the quantity of water during the watering ofthe plant rack.
 6. The system of claim 1, further comprising: ananalysis component, implemented on a cloud server, analyzes thereal-time context data associated with the live plant center, the sensordata generated by the set of sensor devices within the live plant centerand historical plant data associated with the plurality of plants usinga set of per-plant maintenance rules; and the analysis componentgenerates disposition instructions for at least one plant in theplurality of plants based on a result of the analysis, the dispositioninstructions comprising at least one of an instruction to markdown theat least one plant and an instruction to move the at least one plant toa different location.
 7. The system of claim 1, wherein the set ofsensor devices comprises at least one of a set of temperature sensors, aset of hygrometers, a set of pressure sensors, a set of weight sensors,a set of motion sensors, a set of image capture devices and a set ofscanner devices.
 8. The system of claim 1, further comprising: acontroller component, implemented on the at least one processor, whereinthe controller component returns the plant rack to the assigned locationof the plant rack on condition at least one sensor device on the roboticrack-driver device detects an absence of water released from theframe-mounted sprinkler device indicating completion of the duration forwatering specified in the set of maintenance instructions.
 9. The systemof claim 1, wherein the plant rack further comprises: a set of shelvesfor displaying at least one plant on each shelf in the set of shelves;and a set of water absorbent mats associated with the set of shelves,wherein at least one water absorbent mat is placed on at least one shelfin the set of shelves.
 10. The system of claim 1, further comprising: aset of drains associated with the frame-mounted sprinkler device toreclaim water draining off the plant rack; a water reclamationreceptacle for storing reclaimed water captured by the set of drains;and a set of filters associated with the frame-mounted sprinkler device,wherein the set of filters remove particulate matter from the reclaimedwater in the water reclamation receptacle prior to re-using thereclaimed water to water at least one plant on a next plant rack.
 11. Acomputer-implemented method for dynamically scheduling watering ofplants on a maneuverable plant rack, the computer-implemented methodcomprising: analyzing, by an analysis component executing on a computingdevice, sensor data generated by a set of sensor devices associated witha selected plant rack in a live plant center and real-time context dataassociated with the live plant center using a set of status criteria togenerate an updated status of the at least one plant on the selectedplant rack; updating, by a plant maintenance component, a set ofwatering instructions for the selected plant rack, the updated set ofwatering instructions comprising a next scheduled watering time, aquantity of water and a duration of watering for the next scheduledwatering time of the selected plant rack; moving, by the roboticrack-driver device, the selected plant rack from an assigned location toa watering zone associated with a selected frame-mounted sprinklerdevice at the next scheduled watering time using a set of navigationinstructions; detecting, by at least one sensor device on the roboticrack-driver device, release of water onto the selected plant rack withinthe watering zone; initiating, by a controller component on the roboticrack-driver device, a set of rotational motions maneuvering the selectedplant rack within the watering zone to enable equal water distributionacross the selected plant rack; and returning, by the roboticrack-driver device, the selected plant rack to the assigned location ofthe selected plant rack on condition the at least one sensor detects acessation of water emissions from the rack-mounted sprinkler device. 12.The computer-implemented method of claim 11, further comprising:releasing, by a sprinkler control component on the frame-mountedsprinkler device, the quantity of water onto the selected plant rack forthe watering duration on condition at least one sensor on theframe-mounted sprinkler device detects a presence of the selected rackwithin the watering zone.
 13. The computer-implemented method of claim11, further comprising: analyzing, by a cloud server, real-time weatherdata associated with the live plant center to generate anevapotranspiration (ET) rate for the live plant center; and generatingan ET score for each plant type on a given plant rack in the pluralityof plant racks within the live plant center based on the ET rate andplant data for each plant type, the plant data comprising historicalplant watering data, plant state data, plant size, plant volume,adjacency history, location history and weather data.
 14. Thecomputer-implemented method of claim 11, further comprising: driving, bythe robotic rack-driver device, the selected rack in a selecteddirection, wherein the selected direction comprises at least one of aforward direction, a backward direction and a circular direction. 15.The computer-implemented method of claim 11, further comprising:obtaining the sensor data associated with at least one plant on theselected plant rack from at least one sensor device within the liveplant center, wherein the at least one sensor device is located on therobotic rack-driver device, the frame-mounted sprinkler device or theselected plant rack.
 16. The computer-implemented method of claim 11,further comprising: removably connecting, by an attachment mechanism onthe robotic rack-driver device, a portion of the robotic rack-driverdevice to a portion of the selected plant rack, wherein the roboticrack-driver device propels the selected plant rack via a motor on therobotic rack-driver device.
 17. A robotic rack-driver device comprising:an analysis component implemented by at least one processor on therobotic rack-driver device that analyzes sensor data associated with atleast a portion of a live plant center with real-time context dataassociated with a plurality of maneuverable plant racks using a set ofplant maintenance rules to identify a selected plant rack for watering;an attachment mechanism on the robotic rack-driver device couples to anattachment point on a portion of the selected plant rack; a motorprovides drive power to at least one wheel on the robotic rack-driverdevice to move the selected plant rack from an assigned location of theselected plant rack to a watering zone associated with a selectedframe-mounted sprinkler device; a navigation component implemented on atleast one processor generates navigation instructions for moving theselected plant rack through a set of rotational motions within thewatering zone on condition the frame-mounted sprinkler device beginsreleasing water onto the selected plant rack; a controller componentimplemented on the at least one processor returns the selected plantrack to the assigned location in accordance with the navigationinstructions on condition watering at least one plant on the selectedplant rack is completed; and a locking mechanism releases the selectedplant rack from the robotic rack-driver device at the assigned location.18. The robotic rack-driver device of claim 17, further comprising: aplant maintenance component, implemented on the at least one processor,selects a next plant rack in the plurality of maneuverable plant racksdue for watering; the navigation component guides the roboticrack-driver device to an assigned location of the next plant rack; theattachment mechanism of the robotic rack-driver device connects to anattachment point on a portion of the next plant rack; the navigationcomponent guides the robotic rack-driver device attached to the nextplant rack to the watering zone associated with the selectedframe-mounted sprinkler device, wherein the robotic rack-driver devicewaits until the frame-mounted sprinkler device releases a per-rackquantity of water onto the next plant rack; and the controller componentactivates the robotic rack-driver device to move the next plant rack tothe assigned location of the next plant rack on condition watering iscompleted.
 19. The robotic rack-driver device of claim 17, furthercomprising: a regenerative braking system associated with a set ofbrakes is connected to at least one wheel on the robotic rack-driverdevice, wherein the regenerative braking system recharges a set ofbatteries providing power to a motor on the robotic rack-driver device.20. The robotic rack-driver device of claim 17, further comprising: aplant maintenance component implemented on the at least one processorupdates historical plant watering data record on a data storage toreflect completion of a watering task associated with the selected plantrack.